This past term, Fall 2022, I taught for the second time a course I created on image analysis. (Syllabus.) The structure and content were similar to last year’s — last year went well, and I put lots of work into it, so “if it ain’t broke…” Here’s a summary of things in the 2021 course … Continue reading Image Analysis Course Recap, Fall 2022
A more technical post than most. If the symbol and the equation look familiar to you, you’ll be fine. If not, you may still like the post, but in case you’re about to depart I’ll put my customary link to my pop-science biophysics book’s description here, and also share this week’s news that it will … Continue reading What does the Heisenberg Uncertainty Principle have to do with microscopy?
This past term (Fall 2021) I taught a course on image analysis. It was a new course — not just new for me but completely new, though it grew out of an informal image analysis class I’ve taught “off the books” before and have posted about. The class went well, though I severely underestimated how … Continue reading Image Analysis: Reflections on a New Course
Update May 12, 2020: I intend to start the course during the week of May 18, 2020. If you’re interested in taking it, please do the following by May 15, 2020: (i) Get the up-to-date syllabus here; (ii) Write your name and email address on this sheet if you haven’t already contacted me; (iii) Note … Continue reading An informal image analysis course
In Part I, I wrote about how I started exploring the topic of machine learning, and we looked briefly described one of its main aims: automating the task of classifying objects based on their properties. Here, I’ll give an example of this in action, and also describe some general lessons I’ve drawn from this experience. … Continue reading Learning about (machine) learning — part II